Nature-inspired algorithms for big data frameworks:
"This book focuses on application of nature-inspired algorithms for handling issues and challenges posed by big data in diverse environments. It highlights the usability and performance measures of these techniques in dealing with data related problems of emerging areas. It also explore the rol...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, PA
IGI Global
[2019]
|
| Schriftenreihe: | Advances in computational intelligence and robotics (ACIR) book series
Premier reference source |
| Schlagworte: | |
| Online-Zugang: | DE-1050 DE-706 DE-83 DE-898 Volltext |
| Zusammenfassung: | "This book focuses on application of nature-inspired algorithms for handling issues and challenges posed by big data in diverse environments. It highlights the usability and performance measures of these techniques in dealing with data related problems of emerging areas. It also explore the role of machine learning techniques for the optimization and learning involving data intensive applications"... |
| Beschreibung: | Includes bibliographical references |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781522558538 |
| DOI: | 10.4018/978-1-5225-5852-1 |
Internformat
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| id | DE-604.BV046054908 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-20T06:01:26Z |
| institution | BVB |
| isbn | 9781522558538 |
| language | English |
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| publishDate | 2019 |
| publishDateSearch | 2019 |
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| publisher | IGI Global |
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| series2 | Advances in computational intelligence and robotics (ACIR) book series Premier reference source |
| spelling | Nature-inspired algorithms for big data frameworks Hema Banati, Shikha Mehta, Parmeet Kaur Hershey, PA IGI Global [2019] 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Advances in computational intelligence and robotics (ACIR) book series Premier reference source Includes bibliographical references "This book focuses on application of nature-inspired algorithms for handling issues and challenges posed by big data in diverse environments. It highlights the usability and performance measures of these techniques in dealing with data related problems of emerging areas. It also explore the role of machine learning techniques for the optimization and learning involving data intensive applications"... Evolutionary programming (Computer science) Evolutionary computation Computer algorithms Big data Banati, Hema 1970- (DE-588)1185996656 edt Mehta, Shikha 1977- (DE-588)1185996990 edt Kaur, Parmeet 1976- (DE-588)1185997407 edt Erscheint auch als Druck-Ausgabe, hardcover 978-1-5225-5852-1 https://doi.org/10.4018/978-1-5225-5852-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Nature-inspired algorithms for big data frameworks Evolutionary programming (Computer science) Evolutionary computation Computer algorithms Big data |
| title | Nature-inspired algorithms for big data frameworks |
| title_auth | Nature-inspired algorithms for big data frameworks |
| title_exact_search | Nature-inspired algorithms for big data frameworks |
| title_full | Nature-inspired algorithms for big data frameworks Hema Banati, Shikha Mehta, Parmeet Kaur |
| title_fullStr | Nature-inspired algorithms for big data frameworks Hema Banati, Shikha Mehta, Parmeet Kaur |
| title_full_unstemmed | Nature-inspired algorithms for big data frameworks Hema Banati, Shikha Mehta, Parmeet Kaur |
| title_short | Nature-inspired algorithms for big data frameworks |
| title_sort | nature inspired algorithms for big data frameworks |
| topic | Evolutionary programming (Computer science) Evolutionary computation Computer algorithms Big data |
| topic_facet | Evolutionary programming (Computer science) Evolutionary computation Computer algorithms Big data |
| url | https://doi.org/10.4018/978-1-5225-5852-1 |
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